Advances in Aerospace Engineering: Artificial Intelligence, Structures, Materials, and Optimization [Hardcover]

Preface. The Role of Artificial Intelligence in Transforming Aerospace and Engineering. Artificial Intelligence and Machine Learning Methods Used in Aviation and Aerospace Engineering Research. Shear Buckling in Thin Walled Structures: Insights from Python for Structural Analysis. Multi-Objective Optimization of the Dynamic Behavior of a Thin-Walled Composite Aircraft Wing with Biconvex Cross-Section. Optimized Lattice Structure Design and Analysis for Aircraft Brackets with an Evaluation of Additive Manufacturing Viability. Aluminum Lithium Alloys in Aeronautics. Borophene: Exploring the Future of High-Strength and Lightweight Material. Energy-Efficient UAV Routing Optimization Using Genetic Algorithms in Dynamic Logistics Systems. Optimizing the Production Process of a Manufacturing Company with a Project Scheduling Approach. Machine Learning for Sustainable Aviation Logistics. Sustainable Aviation Fuel to Decarbonize the Aviation Industry: A Case Study on the United States. Index.

This book?explores cutting-edge AI and machine learning methods that are revolutionizing aerospace and aviation. The book provides insights into how recent advancements contribute to efficiency, sustainability, and innovation in the industry.

This book, Advances in Aerospace Engineering? Artificial Intelligence, Structures, Materials, and Optimization, explores cuttingedge AI and machine learning methods that are revolutionizing aerospace and aviation. With chapters covering key topics such as AIdriven research, structural analysis using Python, optimization of aircraft design, and the future of highstrength materials like borophene, the book provides insights into how recent advancements contribute to efficiency, sustainability, and innovation in the industry. From energyefficient UAV routing to sustainable aviation fuels, each chapter offers valuable applications and advanced techniques,l£%